Datasets:

shoni
/

farcaster

@@ -1,116 +1,118 @@
----
-license: cc-by-4.0
-pretty_name: "Farcaster Open Social Dataset"
-tags:
-  - social-media
-  - farcaster
-  - farcaster-threads
-  - tabular
-  - parquet
-  - datasets
-language: []
-task_categories:
-  - text-retrieval
----
-# Farcaster Threads Dataset
-## Overview
-This dataset contains high-quality thread data from Farcaster's entire history, featuring 512-dimensional embeddings generated using Voyager (float32) on formatted thread text. The dataset includes comprehensive thread metadata, engagement metrics, and vector embeddings suitable for semantic search, recommendation systems, and content analysis.
-## Dataset Details
-- **Total Records**: ~24.3 million threads
-- **Data Cutoff**: 2025-05-21 19:44:58.000 -0600 (no threads newer than this date)
-- **Quality Filter**: Non-spam content only (spam label = 2)
-- **Embedding Model**: Voyager 512-dimensional float32 vectors
-- **Repository**: [shoni/farcaster](https://huggingface.co/datasets/shoni/farcaster)
-- **Data Location**: `/threads` folder
-## Schema
-| Column | Type | Description |
-|--------|------|-------------|
-| `hash` | bytes | Unique thread identifier (primary key) |
-| `fids` | list[int] | FIDs of reply authors, ordered by reaction count (most reacted first) |
-| `reactions` | int | Total reaction count from non-spam users |
-| `author_fid` | int | FID of the original thread author |
-| `timestamp` | timestamp | Thread creation date |
-| `claimed_at` | timestamp | When thread was claimed by processing worker |
-| `blob` | string | Formatted thread text including replies and author information |
-| `blob_embedding` | list[float32] | 512-dimensional Voyager embeddings of the blob text |
-## Data Quality
-- **Spam Filtering**: Only includes threads with spam label = 2 (verified non-spam)
-- **Engagement Metrics**: Reaction counts filtered to exclude spam users
-- **Historical Coverage**: Complete Farcaster thread history up to cutoff date
-- **Reply Ordering**: Reply authors (`fids`) sorted by engagement for relevance
-## Use Cases
-- Semantic search over Farcaster content
-- Thread recommendation systems
-- Content similarity analysis
-- Social network analysis
-- Engagement prediction modeling
-- Community detection and analysis
-## Loading the Dataset
-```python
-from datasets import load_dataset
-# Load the dataset
-dataset = load_dataset("shoni/farcaster", data_dir="threads")
-# Access embeddings
-embeddings = dataset['train']['blob_embedding']
-# Access formatted thread text
-threads = dataset['train']['blob']
-```
-## Citation
-If you use this dataset in your research, please cite:
-```
-@dataset{farcaster_open_social_dataset_2025,
-  title={Farcaster Open Social Dataset},
-  author={shoni},
-  year={2025},
-  url={https://huggingface.co/datasets/shoni/farcaster}
-}
-```
-## License
-CC-BY-4.0
-## Example Thread
-Note: The actual `blob_embedding` content in the dataset uses private formatting techniques that slightly differ from the displayed blob text in the dataset. The displayed blob text is a human-readable format, replies are ordered from most to least popular (as whole branches):
-```
-@degen-chad: Have to brag on the youngest daughter with the goal here.
-This is ECNL, highest level of youth /football in the US.
-↳@bradq: Solid pass and she buried it. Her father's child...though I'm guessing you didn't play soccer.
-↳↳@degen-chad: I didn't, not seriously anyway. Probably 4 years of youth soccer.
-Main sports growing up were Baseball, Wrestling, Boxing, Kickboxing, Track, Tennis, Football, Swimming
-↳@nd10: A great player more wins for her
-27 $degen
-↳@speakup: Damn.. Congratulations, look forward to seeing her on the national team one day.
-↳@ihawaii.eth: she's badass!!!
-↳↳@degen-chad: Haha, not sure about that, but 70% of the girls in this league end up playing Division 1 Soccer, and 90% play in College.
-↳↳↳@brixbounty: Worth the brag
-```
-## Repository
-[https://huggingface.co/datasets/shoni/farcaster](https://huggingface.co/datasets/shoni/farcaster)

+---
+license: cc-by-4.0
+pretty_name: "Farcaster Open Social Dataset"
+tags:
+  - social-media
+  - farcaster
+  - farcaster-threads
+  - tabular
+  - parquet
+  - datasets
+language: []
+task_categories:
+  - text-retrieval
+---
+# Farcaster Threads Dataset
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64fa45a5c45dd732ac79f437/2PmtamHPYL8VMg7RBzVoA.png)
+## Overview
+This dataset contains high-quality thread data from Farcaster's entire history, featuring 512-dimensional embeddings generated using VoyageAI (float32) on formatted thread text. The dataset includes comprehensive thread metadata, engagement metrics, and vector embeddings suitable for semantic search, recommendation systems, and content analysis.
+## Dataset Details
+- **Total Records**: ~24.3 million threads
+- **Data Cutoff**: 2025-05-21 19:44:58.000 -0600 (no threads newer than this date)
+- **Quality Filter**: Non-spam content only (spam label = 2)
+- **Embedding Model**: VoyageAI 512-dimensional float32 vectors
+- **Repository**: [shoni/farcaster](https://huggingface.co/datasets/shoni/farcaster)
+- **Data Location**: `/threads` folder
+## Schema
+| Column | Type | Description |
+|--------|------|-------------|
+| `hash` | bytes | Unique thread identifier (primary key) |
+| `fids` | list[int] | FIDs of reply authors, ordered by reaction count (most reacted first) |
+| `reactions` | int | Total reaction count from non-spam users |
+| `author_fid` | int | FID of the original thread author |
+| `timestamp` | timestamp | Thread creation date |
+| `claimed_at` | timestamp | When thread was claimed by processing worker |
+| `blob` | string | Formatted thread text including replies and author information |
+| `blob_embedding` | list[float32] | 512-dimensional VoyageAI embeddings of the blob text |
+## Data Quality
+- **Spam Filtering**: Only includes threads with spam label = 2 (verified non-spam)
+- **Engagement Metrics**: Reaction counts filtered to exclude spam users
+- **Historical Coverage**: Complete Farcaster thread history up to cutoff date
+- **Reply Ordering**: Reply authors (`fids`) sorted by engagement for relevance
+## Use Cases
+- Semantic search over Farcaster content
+- Thread recommendation systems
+- Content similarity analysis
+- Social network analysis
+- Engagement prediction modeling
+- Community detection and analysis
+## Loading the Dataset
+```python
+from datasets import load_dataset
+# Load the dataset
+dataset = load_dataset("shoni/farcaster", data_dir="threads")
+# Access embeddings
+embeddings = dataset['train']['blob_embedding']
+# Access formatted thread text
+threads = dataset['train']['blob']
+```
+## Citation
+If you use this dataset in your research, please cite:
+```
+@dataset{farcaster_open_social_dataset_2025,
+  title={Farcaster Open Social Dataset},
+  author={shoni},
+  year={2025},
+  url={https://huggingface.co/datasets/shoni/farcaster}
+}
+```
+## License
+CC-BY-4.0
+## Example Thread
+Note: The actual `blob_embedding` content in the dataset uses private formatting techniques that slightly differ from the displayed blob text in the dataset. The displayed blob text is a human-readable format, replies are ordered from most to least popular (as whole branches):
+```
+@degen-chad: Have to brag on the youngest daughter with the goal here.
+This is ECNL, highest level of youth /football in the US.
+↳@bradq: Solid pass and she buried it. Her father's child...though I'm guessing you didn't play soccer.
+↳↳@degen-chad: I didn't, not seriously anyway. Probably 4 years of youth soccer.
+Main sports growing up were Baseball, Wrestling, Boxing, Kickboxing, Track, Tennis, Football, Swimming
+↳@nd10: A great player more wins for her
+27 $degen
+↳@speakup: Damn.. Congratulations, look forward to seeing her on the national team one day.
+↳@ihawaii.eth: she's badass!!!
+↳↳@degen-chad: Haha, not sure about that, but 70% of the girls in this league end up playing Division 1 Soccer, and 90% play in College.
+↳↳↳@brixbounty: Worth the brag
+```
+## Repository
+[https://huggingface.co/datasets/shoni/farcaster](https://huggingface.co/datasets/shoni/farcaster)